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Scheduling under uncertainty: A Query-based Approachтезисы доклада
Информация о цитировании статьи получена из
Scopus
Дата последнего поиска статьи во внешних источниках: 8 октября 2025 г.
- Авторы: Arantes L., Bampis E., Kononov A., Letsios M., Lucarelli G., Sens P.
- Сборник: Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, {IJCAI-18}
- Тезисы
- Год издания: 2018
- Издательство: International Artificial Intelligence in Education Society
- Местоположение издательства: Netherlands
- Первая страница: 4646
- Последняя страница: 4652
- DOI: 10.24963/ijcai.2018/646
- Аннотация: We consider a single machine, a set of unit-time jobs, and a set of unit-time errors. We assume that the time-slot at which each error will occur is not known in advance but, for every error, there exists an uncertainty area during which the error will take place. In order to find if the error occurs in a specific time-slot, it is necessary to issue a query to it. In this work, we study two problems: (i) the error-query scheduling problem, whose aim is to reveal enough error-free slots with the minimum number of queries, and (ii) the lexicographic error-query scheduling problem where we seek the earliest error-free slots with the minimum number of queries. We consider both the off-line and the on-line versions of the above problems. In the former, the whole instance and its characteristics are known in advance and we give a polynomial-time algorithm for the error-query scheduling problem. In the latter, the adversary has the power to decide, in an on-line way, the time-slot of appearance for each error. We propose then both lower bounds and algorithms whose competitive ratios asymptotically match these lower bounds
- Добавил в систему: Кононов Александр Вениаминович